Aerodynamic Modeling Research Scientist, Prime Air Flight Sciences Aerodynamic Modeling

Aerodynamic Modeling Research Scientist, Prime Air Flight Sciences Aerodynamic Modeling

Job ID: 2819790 | Amazon.com Services LLC

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.

How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers and are excited for what’s to come.

If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real-world delivery challenges, and provide benefits to customers, Prime Air is the place for you.

Our Prime Air Drone Flight Sciences High Fidelity Methods (HFM) team is looking for an outstanding member to develop and verify our Aerodynamic Database and associated aerodynamics models used for engineering analyses and vehicle simulations. These models are the backbone of every flight simulation performed within Prime Air and are a critical element in the aircraft design, verification, and certification process.

Key job responsibilities include owning the development, deployment, verification, and maintenance of models from end-to-end. This includes gathering downstream customer needs, identifying suitable modelling approaches, coordinating the generation of input data, training models, developing and maintaining software interfaces, and verifying model accuracy.

This role requires determining the most suitable modeling approach for given physical phenomena, possessing knowledge of various machine learning techniques, and understanding vehicle aerodynamics, multibody dynamics, and atmosphere physics. Responsibilities also include designing experiments for generating data used to train and verify surrogate models and validating models through uncertainty quantification, system identification, and statistical analyses.

BASIC QUALIFICATIONS

1. Bachelors Degree in aerospace engineering, mechanical engineering, physics and 5+ years experience or equivalent
2. Experience with flight vehicle design, simulation, development, and verification & validation (V&V)
3. Proficient with at least one modern programming language (e.g., C++, Python, Java, VBA)

PREFERRED QUALIFICATIONS

1. Master's or PhD in aerospace engineering, mechanical engineering, physics or equivalent
2. 3+ years experience in air vehicle aerodynamic design, analysis, and testing (preferably electric propulsion vehicles)
3. Experience with flight test planning, instrumentation and data reduction techniques
4. Experience with high-fidelity aerodynamics prediction methods including wind tunnel testing and computational fluid dynamics (CFD)
5. Knowledgeable about fixed-wing and/or rotorcraft flight physics
6. Experience with uncertainty quantification in the context of computational models
7. Experience with Gaussian Process (GP) Regression
8. Experience with regulatory and certification processes pertaining to flight performance

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Posted: December 3, 2024 (Updated 1 day ago)